Digging and anchoring all-in-one machine auxiliary fault diagnosis system and method based on digital-analog linkage

Abstract

The invention belongs to the technical field of fault diagnosis of coal mine tunneling equipment, and provides a digital-analog linkage-based auxiliary fault diagnosis system for a tunneling and anchoring all-in-one machine in order to solve the problem that a worker on a coal mine production site cannot quickly troubleshoot the fault of the tunneling and anchoring all-in-one machine. The storage module is used for storing running state information of each component during running of the digging-anchoring all-in-one machine; the man-machine interaction module is used for displaying the running state of the digging and anchoring all-in-one machine in real time according to the running state information stored in the database, and alarming and flickering at the corresponding part according to the fault information; and the digital-analog linkage knowledge base is used for storing historical fault solutions of the driving and anchoring all-in-one machine and determining a fault solution according to the historical fault solutions of the driving and anchoring all-in-one machine and the fault information. And meanwhile, the technical requirements on field workers are reduced, and the working efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of fault diagnosis of coal mine tunneling equipment, and particularly relates to an auxiliary fault diagnosis system and method for a roadheader-anchoring machine based on digital-analog linkage. Background Art

[0002] The rapid tunneling complete set system is a set of rapid tunneling equipment used for coal mine roadway tunneling during the coal mine mining process. As the leading equipment of the rapid tunneling system, the safe and reliable operation of the roadheader-anchoring machine is the guarantee of the tunneling speed in roadway tunneling. When the roadheader-anchoring machine fails, the mine technical personnel can generally solve it by themselves, while complex faults often require contacting the coal mining machine manufacturer for guidance. Whether the coal mining machine manufacturer conducts inspections on-site or provides remote telephone guidance, it highly depends on the technical capabilities of on-site technical personnel. Without the support of historical data, it undoubtedly brings a large workload to the troubleshooting, resulting in the stoppage of coal mine roadway tunneling and affecting the coal mine mining progress. Therefore, in this context, there is an urgent need for a method to assist on-site technical personnel to quickly troubleshoot the faults of the roadheader-anchoring machine and avoid the stagnation of coal mine production progress caused thereby. Summary of the Invention

[0003] In order to solve at least one of the above technical problems in the prior art, the present invention provides an auxiliary fault diagnosis system and method for a roadheader-anchoring machine based on digital-analog linkage.

[0004] According to a first aspect, the present invention provides an auxiliary fault diagnosis system for a roadheader-anchoring machine based on digital-analog linkage, including:

[0005] A database for storing the operation status information of each component during the operation of the roadheader-anchoring machine, where the operation status information includes the normal operation information and fault information of the corresponding component;

[0006] A human-computer interaction module for real-time displaying the operation status of the roadheader-anchoring machine according to the operation status information stored in the database, and performing alarm flashing at the corresponding component according to the fault information;

[0007] A digital-analog linkage knowledge base for storing the historical fault solution methods of the roadheader-anchoring machine, and determining a fault solution according to the historical fault solution methods of the roadheader-anchoring machine and the fault information.

[0008] Preferably, the database includes:

[0009] Information data tables are respectively established for each component of the roadheader-anchoring machine, and the information data tables contain the operation control information data, sensor information data, mechanical information data, and hydraulic information data of each component;

[0010] Construct the database based on the field lengths, data types, and data lengths of the information data in the information data table.

[0011] Preferably, the human-computer interaction module includes:

[0012] A programmable logic controller for processing the operation status information and transmitting the processing result to the operation status display module;

[0013] An operation status display module for establishing the constraint relationships of the components of the roadheader-anchoring machine according to the processing result, constructing a three-dimensional digital model of the roadheader-anchoring machine according to the constraint relationships, and rendering the three-dimensional digital model of the roadheader-anchoring machine.

[0014] Preferably, the constraint relationships include:

[0015] Obtain the physical constraint relationships during the actual operation of the components of the roadheader-anchoring machine, and establish the joints and gravity constraints of the three-dimensional digital model of the roadheader-anchoring machine according to the physical constraint relationships.

[0016] Preferably, the digital model-linkage knowledge base includes:

[0017] Obtain the historical fault solution methods of the roadheader-anchoring machine in the professional technical knowledge base, and determine the fault solution according to the historical fault solution methods of the roadheader-anchoring machine and the fault information.

[0018] Preferably, it includes:

[0019] Use the first deep adaptive network to train the fault information to obtain an abnormal diagnosis model for each component of the roadheader-anchoring machine;

[0020] Use the second deep adaptive network to train the historical fault solution methods of the roadheader-anchoring machine to obtain an abnormal problem solution model for each component of the roadheader-anchoring machine;

[0021] Determine the fault solution based on the abnormal diagnosis model for each component of the roadheader-anchoring machine and the abnormal problem solution model for each component of the roadheader-anchoring machine.

[0022] Preferably, it further includes:

[0023] Use the adaptive learning algorithm to learn and update the fault solution, and store the learning and update result in the digital model-linkage knowledge base.

[0024] According to the second aspect, the present invention provides a method for auxiliary fault diagnosis of a roadheader-anchoring machine based on digital model-linkage, which is applied to the auxiliary fault diagnosis system of a roadheader-anchoring machine based on digital model-linkage provided in the first aspect and any preferred embodiment, and includes the following steps:

[0025] Obtaining the operating status information of the anchoring and digging machine through the database;

[0026] The human-computer interaction module locates the faulty component based on the operating status information of the anchor-mining machine and flashes an alarm at the faulty component;

[0027] The digital-analog linkage knowledge base extracts historical fault-solving methods for integrated anchor and digging machines according to the faulty components and determines corresponding fault-solving methods.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention adopts a three-dimensional digital model to dynamically display the location of the faulty components of the drilling and anchoring machine, which is convenient for the corresponding technical personnel to quickly locate the fault. At the same time, the auxiliary fault diagnosis system of the drilling and anchoring machine constructed by the present invention reduces the technical requirements of on-site workers and improves work efficiency. It can be used as a daily auxiliary operation and maintenance system. Furthermore, the digital-analog linkage knowledge base is continuously updated through database technology and adaptive learning algorithms, making fault repair more efficient and accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 It is a structural schematic diagram of an auxiliary fault diagnosis system for an integrated anchoring and digging machine based on digital-analog linkage provided by an embodiment of the present invention;

[0032] Figure 2 It is a schematic diagram of a faulty component location process of an integrated anchoring and digging machine provided by an embodiment of the present invention;

[0033] Figure 3 It is a flow chart of an auxiliary fault diagnosis method for an integrated anchor and digging machine based on digital-analog linkage provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In conjunction with the drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0035] It should be noted that the structures, proportions, sizes, etc. shown in the attached drawings of this specification are only used to cooperate with the content disclosed in the specification for those familiar with this technology to understand and read, and are not used to limit the implementation conditions of the present invention. Therefore, they do not have any substantial technical significance. Any modification of the structure, change in the proportional relationship, or adjustment of the size, without affecting the effects that the present invention can produce and the purposes that can be achieved, should fall within the scope covered by the technical content disclosed in the present invention. It should be noted that in this specification, relational terms such as first and second are only used to distinguish one entity from several other entities, and do not necessarily require or imply any actual relationship or order between these entities.

[0036] In the prior art, a mobile terminal is used as a historical data storage terminal before and after the occurrence of underground equipment failures, and then the mobile terminal is taken to the ground and the data is sent back to the coal mining machine manufacturer to obtain the troubleshooting results. Although this method reduces the workload to a certain extent, the process lacks a certain amount of efficiency.

[0037] The present invention applies the three-dimensional model real-time linkage technology to the rapid positioning of the components of the roadheader-anchoring machine, uses the database technology to establish an information library of the roadheader-anchoring machine, and then establishes a corresponding knowledge base for the solutions to the problems of the roadheader-anchoring machine, and continuously enriches the digital model linkage knowledge base by using the adaptive learning algorithm. The present invention can intuitively see the faulty parts of the roadheader-anchoring machine through the human-computer interaction module, improves the troubleshooting efficiency of the roadheader-anchoring machine, does not require high professional requirements for on-site technicians, and improves the production efficiency of coal mines.

[0038] To more clearly introduce the above-mentioned objects, features, and advantages of the present invention, the following further detailed description will be made in conjunction with the attached drawings and specific embodiments.

[0039] As Figure 1 shown, an auxiliary fault diagnosis system for a roadheader-anchoring machine based on digital model linkage provided by an embodiment of the present invention includes:

[0040] A database for storing the operating state information of each component during the operation of the roadheader-anchoring machine, where the operating state information includes the normal working information and fault information of the corresponding component;

[0041] A human-computer interaction module for displaying the operating state of the roadheader-anchoring machine in real time according to the operating state information stored in the database, and performing alarm flashing at the corresponding component according to the fault information;

[0042] A digital model linkage knowledge base for storing the historical solutions to the problems of the roadheader-anchoring machine, and determining the fault solution according to the historical solutions to the problems of the roadheader-anchoring machine and the fault information.

[0043] In this embodiment, an auxiliary fault diagnosis system for a roadheader-anchoring machine is constructed based on a C / S (Client / Server) software architecture, and the auxiliary fault diagnosis system for the roadheader-anchoring machine is run on a computer device.

[0044] Optionally, the database includes: information data tables are respectively established for each component of the roadheader-anchoring machine, and the information data tables contain operation control information data, sensor information data, mechanical information data, and hydraulic information data of each component; the database is constructed based on the field lengths, data types, and data lengths of the information data in the information data tables.

[0045] In this embodiment, sensors are installed at the positions of components such as the cutting part, loading part, transportation part, and walking part of the roadheader-anchoring machine, and sensor information data of each component during the operation of the roadheader-anchoring machine is collected through the sensors, and a multi-sensor fusion system for the roadheader-anchoring machine is constructed based on the sensor information data.

[0046] In this embodiment, operation state information of each working component of the roadheader-anchoring machine is obtained according to the multi-sensor fusion system for the roadheader-anchoring machine, and information data tables are respectively established for each component of the roadheader-anchoring machine based on the operation state information of each component. The information data tables contain operation control information data, sensor information data, mechanical information data, and hydraulic information data of each component; in addition, the field lengths, data types, and data lengths of the data contained in each information data table are designed.

[0047] Optionally, the human-machine interaction module includes: a programmable logic controller for processing the operation state information and transmitting the processing result to the operation state display module; an operation state display module for establishing a constraint relationship between each component of the roadheader-anchoring machine according to the processing result, constructing a three-dimensional digital model of the roadheader-anchoring machine according to the constraint relationship, and rendering the three-dimensional digital model of the roadheader-anchoring machine.

[0048] In this embodiment, the programmable logic controller establishes a communication connection with the multi-sensor fusion system for the roadheader-anchoring machine, the programmable logic controller processes the operation state information, transmits the processing result to the operation state display module, and constructs a three-dimensional digital model of the roadheader-anchoring machine.

[0049] In this embodiment, three-dimensional digital models of the cutting part, loading part, transportation part, and walking part of the roadheader-anchoring machine are constructed by using SolidWorks software; the components of the cutting part, loading part, transportation part, and walking part of the roadheader-anchoring machine are named and rendered by using 3DMax software; according to the physical constraint relationships during the actual operation of each component of the roadheader-anchoring machine, joints and gravity constraints are established for the three-dimensional digital models of each component in the roadheader-anchoring machine, so that the three-dimensional digital model of the roadheader-anchoring machine achieves the same control effect as the physical entity.

[0050] In this embodiment, the three-dimensional digital model of the roadheader-anchoring machine displays the real-time operating status of the cutting component, loading component, transportation component, and traveling component of the roadheader-anchoring machine through the real-time operating status interface.

[0051] In this embodiment, as Figure 2 shown, the three-dimensional digital model of the roadheader-anchoring machine is associated with the database. The three-dimensional digital model of the roadheader-anchoring machine obtains the operating status information of the roadheader-anchoring machine in the database through the virtual data interface. When a fault occurs in a certain part of the roadheader-anchoring machine, an alarm flashes at the corresponding component of the three-dimensional digital model of the roadheader-anchoring machine, more intuitively reflecting the fault location for the corresponding staff and realizing rapid fault location.

[0052] Optionally, the digital model linkage knowledge base includes: obtaining the historical fault solution methods of the roadheader-anchoring machine in the professional technical knowledge base, and determining the fault solution according to the historical fault solution methods of the roadheader-anchoring machine and the fault information.

[0053] Optionally, it includes: training the fault information with the first deep adaptive network to obtain the abnormal diagnosis model of each component of the roadheader-anchoring machine; training the historical fault solution methods of the roadheader-anchoring machine with the second deep adaptive network to obtain the abnormal problem solution model of each component of the roadheader-anchoring machine; determining the fault solution based on the abnormal diagnosis model of each component of the roadheader-anchoring machine and the abnormal problem solution model of each component of the roadheader-anchoring machine.

[0054] Optionally, it further includes: using the adaptive learning algorithm to learn and update the fault solution, and storing the learning and update results in the digital model linkage knowledge base.

[0055] In this embodiment, using the database storage technology, the historical fault solution methods of the roadheader-anchoring machine are stored in the digital model linkage database, and self-learning is carried out using the adaptive school algorithm, so as to timely update the fault solution methods of the roadheader-anchoring machine in the digital model linkage database.

[0056] In this embodiment, the first deep adaptive network is trained with the fault information to obtain the abnormal diagnosis model of each component of the roadheader-anchoring machine. At the same time, the second deep adaptive network is trained with the historical fault solution methods of the roadheader-anchoring machine to obtain the abnormal problem solution model of each component of the roadheader-anchoring machine. Furthermore, the abnormal diagnosis model of each component of the roadheader-anchoring machine and the abnormal problem solution model of each component of the roadheader-anchoring machine are trained simultaneously to obtain the knowledge base of abnormal solution methods for each component of the roadheader-anchoring machine, thereby determining the fault solution for the faulty component, and the fault solution is pop-up reminded through the human-computer interaction module, and the corresponding fault solution is displayed in the pop-up window.

[0057] In the embodiment of the present invention, by constructing an auxiliary fault diagnosis system for a roadheader-anchoring machine based on digital-physical linkage, the real-time linkage technology of the three-dimensional model of the roadheader-anchoring machine is used for the rapid fault location of the components of the roadheader-anchoring machine, improving the efficiency of troubleshooting the roadheader-anchoring machine, without requiring high professional requirements for on-site technicians, improving the production efficiency of the coal mine, and at the same time using database technology and adaptive learning algorithms to continuously enrich the knowledge base of solutions for the roadheader-anchoring machine, facilitating workers to more quickly and efficiently solve the fault problems that occur when the components of the roadheader-anchoring machine are running.

[0058] As Figure 3 shown, the embodiment of the present invention provides an auxiliary fault diagnosis method for a roadheader-anchoring machine based on digital-physical linkage, which is applied to the auxiliary fault diagnosis system for a roadheader-anchoring machine based on digital-physical linkage described in any of the above optional embodiments, and includes the following steps:

[0059] S1: Obtain the operating state information of the roadheader-anchoring machine through the database;

[0060] S2: The human-computer interaction module locates the faulty component based on the operating state information of the roadheader-anchoring machine, and at the same time performs alarm flashing at the faulty component;

[0061] S3: The digital-physical linkage knowledge base extracts the historical solutions for the faults of the roadheader-anchoring machine according to the faulty component, and determines the corresponding fault solution.

[0062] In this embodiment, the real-time operating state information of the cutting component, loading component, transportation component, and walking component of the roadheader-anchoring machine is obtained through the database, and the real-time operating state information of each component is transmitted to the human-computer interaction module for real-time display. When a fault occurs during the operation of the roadheader-anchoring machine, the position of the faulty component is accurately located in the three-dimensional model of the roadheader-anchoring machine in the human-computer interaction model, and at the same time, alarm flashing is performed at the corresponding part. Then, according to the position of the faulty component, the corresponding fault solution in the historical solutions for the faults of the roadheader-anchoring machine is searched in the digital-physical linkage knowledge base. After determining the corresponding fault solution, a pop-up prompt is made in the human-computer interaction module, facilitating the staff to quickly locate the fault position of the roadheader-anchoring machine and determine the solution at the same time.

[0063] The embodiment of the present invention proposes an auxiliary fault diagnosis method for a roadheader-anchoring machine based on digital-physical linkage. Compared with the existing methods, this method reduces the technical requirements for on-site workers, improves the efficiency of workers' solutions, and facilitates workers to more intuitively and quickly locate the faulty parts of the roadheader-anchoring machine.

[0064] As described above, it is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claimed rights.

Claims

1. An auxiliary fault diagnosis system for anchoring and digging machine based on digital-analog linkage, characterized in that: include: A database for storing operating status information of each component of the integrated miner and anchor machine when it is running, wherein the operating status information includes normal working information and fault information of the corresponding component; A human-computer interaction module, used to display the operating status of the anchor-mining machine in real time according to the operating status information stored in the database, and to flash an alarm at a corresponding component according to the fault information; The digital-analog linkage knowledge base is used to store historical solutions to the faults of the integrated digging and anchoring machine, and to determine a fault solution based on the historical solutions to the faults of the integrated digging and anchoring machine and the fault information.

2. The auxiliary fault diagnosis system for anchoring and digging machine based on digital-analog linkage according to claim 1 is characterized in that: The database includes: An information data table is established for each component of the anchoring and digging machine, wherein the information data table contains operation control information data, sensor information data, mechanical information data, and hydraulic information data of each component; The database is constructed based on the field length, data type and data length of each information data in the information data table.

3. The auxiliary fault diagnosis system for anchoring and digging machine based on digital-analog linkage according to claim 1 is characterized in that: The human-computer interaction module comprises: A programmable logic controller, used for processing the operation status information and transmitting the processing result to the operation status display module; The operation status display module is used to establish the constraint relationship of each component of the mining and anchoring machine according to the processing results, construct a three-dimensional digital model of the mining and anchoring machine according to the constraint relationship, and render the three-dimensional digital model of the mining and anchoring machine.

4. The auxiliary fault diagnosis system for anchoring and digging machine based on digital-analog linkage according to claim 3 is characterized in that: The constraint relationship includes: The physical constraint relationship of each component of the integrated mining and anchoring machine during actual operation is obtained, and the joints and gravity constraints of the three-dimensional digital model of the integrated mining and anchoring machine are established according to the physical constraint relationship.

5. The auxiliary fault diagnosis system for anchoring and digging machine based on digital-analog linkage according to claim 1 is characterized in that: The digital-analog linkage knowledge base includes: Obtain the historical solutions to the faults of the integrated digging and anchoring machine in the professional and technical knowledge base, and determine the fault solution based on the historical solutions to the faults of the integrated digging and anchoring machine and the fault information.

6. The auxiliary fault diagnosis system for anchoring and digging machine based on digital-analog linkage according to claim 5 is characterized in that: include: The fault information is trained using a first deep adaptive network to obtain an abnormality diagnosis model for each component of the anchoring and digging machine; The second deep adaptive network is used to train the historical fault solution method of the integrated digging and anchoring machine to obtain a model for solving abnormal problems of various components of the integrated digging and anchoring machine; A fault solution is determined based on the abnormality diagnosis model of each component of the integrated digging and anchoring machine and the abnormality problem solving model of each component of the integrated digging and anchoring machine.

7. The auxiliary fault diagnosis system for anchoring and digging machine based on digital-analog linkage according to claim 5 is characterized in that: Also includes: The fault solution is learned and updated using an adaptive learning algorithm, and the learning and updating results are stored in the digital-analog linkage knowledge base.

8. A method for auxiliary fault diagnosis of an integrated digging and anchoring machine based on digital-analog linkage, applied to the auxiliary fault diagnosis system of an integrated digging and anchoring machine based on digital-analog linkage as claimed in any one of claims 1 to 7, characterized in that: The steps include: Obtaining the operating status information of the anchoring and digging machine through the database; The human-computer interaction module locates the faulty component based on the operating status information of the anchor-mining machine and flashes an alarm at the faulty component; The digital-analog linkage knowledge base extracts historical fault-solving methods for integrated anchor and digging machines according to the faulty components and determines corresponding fault-solving methods.

Images